Prioritizing the enablers for adoption of AI based health care wearables among elderly people

Artificial intelligence is playing an important role in different spheres of life and medical field in not an exception. During the last decade many AI based medical wearable devices have come up to assist people in maintaining and monitoring their health. But their adoption by people and particularly by the elderly segment remains a challenge. The current study prioritizes the different enablers that may lead to the adoption of AI based health care wearables among elderly people. Firstly, different factors that may enable adoption of health care wearables were identified on the basis of literature and discussion with experts and then the analysis was done by using DEMATEL technique to prioritize the enables. The outcome showed that trustworthiness, self - efficacy and health interest are the causal variables and perceived value, and perceived expectancy are the effects of these variables. Among these perceived expectancies and perceived value were found to be the most relevant variables.